Return Fraud Costs Retailers $21–$46 Per Item. A Network Can Stop It.

01 /The Concept

eComID believes the next chapter in e-commerce evolution is finally here – one where return rates drop dramatically rather than continuing to climb.

Product returns are a serious drain on online retailers. Each returned item costs a store somewhere between $21 and $46.

According to Shopify data, average return rates across online stores run between 20–30% of all items sold – and spike even higher during promotional campaigns and seasonal sales events.

At 91% of stores, the return rate is growing faster than revenue itself. In other words, the harder a store pushes for sales, the deeper the losses it racks up.

The cumulative damage has turned product returns into a $3 trillion problem – that's the value of goods returned last year alone.

eComID has set out to "change the future of e-commerce" by building a platform purpose-built to reduce the volume of returns.

The startup launched its platform in November of last year, though it's still invite-only. Even so, 1 million shoppers have already encountered eComID as early adopters. The company estimates that 76% of them will end up returning fewer items – and 7 in 10 of those shoppers have already told friends about the experience.

eComID has now closed its first €2.75M funding round. The quality of the investor roster – which includes the venture arm of H&M – signals that retailers are taking this seriously.

The platform's inner workings are gated behind an access code shared only with select merchants, so the exact mechanism isn't public. But the name itself is telling: that "ID" abbreviation hints strongly at a unique buyer identifier.

The logic writes itself:

- Shoppers get an ID that automatically tracks their purchase and return activity across all partner stores on the network.

- Partner stores can then offer discounts or special bonuses to shoppers who consistently return few items across the entire network.

Bluntly: low returners shop cheaper, high returners pay more. The bet is that the financial incentive will nudge shoppers toward buying with more intention – purchasing only what they actually plan to keep.

02 /Why It Matters

eComID isn't trying to make returns easier or cheaper to process – it wants fewer returns to happen in the first place.

Convenient, free returns have trained shoppers to over-order: buy five things, keep one, send the rest back at no cost. eComID wants to replace that habit with a sense of accountability.

The key mechanism is a network-level rewards system – which means stores need to collaborate with each other. That's where the platform comes in.

The big upside of eComID's model is the network effect: every new shopper and every new merchant added to the network increases the platform's value for everyone already on it.

That same dynamic, though, is also the catch. In any given market, only one to three players will reach critical mass before the window closes. Once a dominant network establishes itself, there's little point in launching a rival.

The conclusion is straightforward: if this model looks compelling, the time to build it is now – not later.

03 /Opportunities

Conceptually, this resembles a loyalty card that works across a broad retail coalition – except that instead of rewarding how much you spend, it rewards how little you return.

The network effect means the platform's defensibility grows with scale. First movers who accumulate shoppers and merchants fastest will be extremely hard to dislodge.

Anyone drawn to this space should move quickly. The window for building the critical mass needed to make the model work won't stay open indefinitely.